• Even Faster Convolutions: Winograd Convolutions meet Integer Quantization and Architecture Search
    Javier Fernandez-Marques recently completed his internship with us at Arm ML Research Lab , working with the Machine Learning team in Cambridge UK, and in Boston, US. During his four months, Javier’s...
  • Even Faster Convolutions: Winograd Convolutions meet Integer Quantization and Architecture Search
    Javier Fernandez-Marques recently completed his internship with us at Arm ML Research Lab , working with the Machine Learning team in Cambridge UK, and in Boston, US. During his four months, Javier’s...
  • Reducing the Cost of Neural Network Inference with Residue Number Systems
    The size and computational complexity of neural network models continues to grow exponentially. The reason for this growth is easy to understand; generally, larger neural networks deliver higher accuracy...
  • Reducing the Cost of Neural Network Inference with Residue Number Systems
    The size and computational complexity of neural network models continues to grow exponentially. The reason for this growth is easy to understand; generally, larger neural networks deliver higher accuracy...
  • Anomaly Detection in IoT networks
    In the past few years there has been ad hoc growth in IoT networks, unlike the regulated incorporation of enterprise ethernet or Wi-Fi infrastructure. The old infrastructure took a long time to grow and...